Xuxia Wu

25 total papers · 617 total citations
17 papers, 481 citations indexed

About

Xuxia Wu is a scholar working on Molecular Biology, Obstetrics and Gynecology and Physiology. According to data from OpenAlex, Xuxia Wu has authored 17 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Obstetrics and Gynecology and 3 papers in Physiology. Recurrent topics in Xuxia Wu's work include Uterine Myomas and Treatments (7 papers), Adipose Tissue and Metabolism (3 papers) and Endometriosis Research and Treatment (3 papers). Xuxia Wu is often cited by papers focused on Uterine Myomas and Treatments (7 papers), Adipose Tissue and Metabolism (3 papers) and Endometriosis Research and Treatment (3 papers). Xuxia Wu collaborates with scholars based in Sweden, United States and China. Xuxia Wu's co-authors include Agneta Blanck, Bo Lindblom, Amilcar Flores‐Morales, Gunnar Norstedt, Matts Olovsson, W. Timothy Garvey, Mitchell Martin, Karin Dillner, Åke Pousette and See‐Tong Pang and has published in prestigious journals such as Journal of Applied Physiology, Endocrinology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Xuxia Wu

17 papers receiving 468 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xuxia Wu 207 109 102 70 66 17 481
Árpád Boronkai 257 1.2× 101 0.9× 38 0.4× 48 0.7× 31 0.5× 22 524
Tatsuo Shinagawa 209 1.0× 65 0.6× 36 0.4× 49 0.7× 47 0.7× 15 455
Patricia Lenhart 266 1.3× 54 0.5× 23 0.2× 47 0.7× 37 0.6× 17 495
Kimmo Jaakkola 252 1.2× 46 0.4× 58 0.6× 68 1.0× 17 0.3× 12 500
H Nanri 259 1.3× 111 1.0× 14 0.1× 33 0.5× 71 1.1× 15 521
Geertruida N. Jonges 146 0.7× 26 0.2× 85 0.8× 19 0.3× 34 0.5× 20 506
Wan-Ru Lee 276 1.3× 28 0.3× 29 0.3× 50 0.7× 40 0.6× 12 511
Olivier Cerles 192 0.9× 69 0.6× 97 1.0× 15 0.2× 28 0.4× 17 465
Kayoko Kojima 207 1.0× 36 0.3× 62 0.6× 31 0.4× 27 0.4× 11 456
S.H. Koh 137 0.7× 24 0.2× 69 0.7× 16 0.2× 88 1.3× 13 422

Countries citing papers authored by Xuxia Wu

Since Specialization
Citations

This map shows the geographic impact of Xuxia Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xuxia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuxia Wu more than expected).

Fields of papers citing papers by Xuxia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuxia Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xuxia Wu. The network helps show where Xuxia Wu may publish in the future.

Co-authorship network of co-authors of Xuxia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuxia Wu. A scholar is included among the top collaborators of Xuxia Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuxia Wu. Xuxia Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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